Podcast | Artificial Intelligence | May 25, 2018

PODCAST: Imaging Smack Down at SIIM: AI Won’t Soon Replace Radiologists, With Eliot Siegel

It’s ridiculous to think that in the coming two decades, artificial intelligence will replace radiologists, says AI expert Eliot Siegel, M.D. Even if AI got good at reading medical images, “radiologists do much more than that,” he says in a podcast interview with Contributing Editor Greg Freiherr. Listen to the podcast.

In the accompanying video interview, Siegel, a radiology professor at the University of Maryland School of Medicine and chief of Imaging Services at the VA Maryland Health Care System, will highlight these and other reasons why it’s ridiculous to think computers will replace radiologists. He’ll discuss them during a SIIM debate on the subject June 2 that will include Bradley J. Erickson, M.D., associate research chair in the radiology department at Mayo Clinic in Rochester. 

AI might not replace radiologists, but it could radically change the practice of radiology in just a few years, he says. During a SIIM session June 1, Siegel will moderate discussions among executives from several companies, including GE Healthcare and newcomer Aidoc, who will look at radiology AI applications and roadmap how these and future applications will incorporate AI. 

One thing is for sure, says Siegel: AI is going to dramatically increase radiologists’ use of lab data, genomics and digital pathology. Several of these data types may become integral parts of reading oncologic images, according to Siegel, who will provide details at SIIM May 31 in “Point-of-Care Precision Medicine: Real-time Radiomics-Genomics in the Reading Room.”

Related Content

Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

News | Neuro Imaging | September 20, 2018
New research has shown a combination of two different modes of magnetic resonance imaging (MRI), computer-based...
LVivo EF Cardiac Tool Now Available for GE Vscan Extend Handheld Mobile Ultrasound
Technology | Cardiovascular Ultrasound | September 19, 2018
DiA Imaging Analysis Ltd. (DiA), a provider of artificial intelligence (AI)-powered ultrasound analysis tools,...
Exact Imaging Partners to Improve Prostate Cancer Detection With Artificial Intelligence
News | Prostate Cancer | September 19, 2018
Exact Imaging, makers of the ExactVu micro-ultrasound platform, has partnered with U.K.-based Cambridge Consultants to...
SimonMed Deploys ClearRead CT Enterprise Wide
News | Computer-Aided Detection Software | September 17, 2018
September 17, 2018 — National outpatient physician radiology group SimonMed Imaging has selected Riverain Technologie
Veye Chest version 2
News | Lung Cancer | September 11, 2018
Aidence, an Amsterdam-based medical AI company, announced that Veye Chest version 2, a class IIa medical device, has
GlobalData: Amazon Poised to Make Huge Strides in Healthcare
News | Radiology Business | August 31, 2018
A new report from data and analytics company GlobalData suggests that Amazon is poised to make huge strides in...
Videos | Treatment Planning | August 28, 2018
A discussion with...
RSNA Announces Pneumonia Detection Machine Learning Challenge
News | Artificial Intelligence | August 27, 2018
The Radiological Society of North America (RSNA) has launched its second annual machine learning challenge. The RSNA...
Videos | Artificial Intelligence | August 23, 2018
Radiological Society of North America (RSNA) President...
Nuance Launches Cloud-Based mPower Clinical Analytics Platform at AHRA 2018
Technology | Analytics Software | August 16, 2018
At the Association for Medical Imaging Management (AHRA) 2018 Annual Meeting and Exposition, July 22-25 in Orlando, Fla...